Triple

T21050320
Position Surface form Disambiguated ID Type / Status
Subject Cefn Sidan beach E518559 entity
Predicate near P350 FINISHED
Object Burry Port NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Burry Port | Statement: [Cefn Sidan beach, near, Burry Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burry Port
Context triple: [Cefn Sidan beach, near, Burry Port]
  • A. Burry Port chosen
    Burry Port is a coastal town and port in southwest Wales known for its marina, sandy beaches, and links to Amelia Earhart’s historic transatlantic flight landing nearby.
  • B. Milborne Port
    Milborne Port was a former parliamentary borough in Somerset, England, that historically returned members to the House of Commons.
  • C. Havenpool
    Havenpool is a fictional town in Thomas Hardy’s Wessex, based on the real port of Poole on England’s south coast.
  • D. Warsop
    Warsop is a small town and civil parish in Nottinghamshire, England, historically linked to coal mining and situated near the larger market town of Mansfield.
  • E. Briton Ferry
    Briton Ferry is a town in South Wales situated near the mouth of the River Neath, historically known for its industrial heritage and docks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7a5cf48190939aefaa44db1ddb completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:35 p.m.